The provided text, an article from LinkedIn by Bry Willis, argues that the most pressing danger presented by Artificial Intelligence is not a fictional machine uprising but the more mundane threat of a generational competence collapse. Willis contends that AI adoption within organisations is highly uneven, creating an internal asymmetry problem where enterprise-wide adoption may fail due to a lack of coherent execution, mirroring previous corporate failures like Digital Transformation. This unevenness is dangerous because it leads to a workforce that relies on AI as a default cognitive infrastructure, offloading critical skills onto systems that are too brittle or expensive to sustain. Should AI fail to achieve universal stability—due to regulation, cost, or corporate abandonment—workers will be left trained only in describing intent rather than core, unaided expertise. The author concludes that humanity risks automating itself into a level of dependency that cannot be supported, creating a dangerous skills vacuum when the underlying technology ultimately flickers or disappears.

👉 https://www.linkedin.com/pulse/skynet-isnt-problem-de-skilled-workforce-bry-willis-vmoze/